Projekt

The current generation of soft robots is distinguished by the incorporation of soft materials actuators and sensors. However, they are constrained by the use of traditional rigid control units, which impairs their performance in real, unstructured environments. The project team presents a novel approach that integrates control functions inspired by the embodied intelligence of biological organisms directly into soft robots. A "neurofluidic" system is created by integrating passive fluidic components with memory. The fluidic memories exhibit a capacity to alter their properties (e.g. fluidic resistance) contingent upon mechanical stimuli. The objective of the project is to create interconnected fluidic networks that exhibit the characteristics of neural-inspired circuits. In the most favorable scenario, the neurofluidic network can be seamlessly integrated into adaptive soft robots. The robots will learn and adapt by responding to internal and external stimuli and adjusting fluidic resistances. The applicant regards this as a preliminary step towards the development of intelligent soft robots that are capable of effortless movement in a variety of environments.

• Prof. Dr. Edoardo Milana

  Universität Freiburg
  Technische Fakultät
  Institut für Mikrosystemtechnik IMTEK
  Freiburg